AI Learning Hub
Designed for developers of all skill levels, the AI Learning Hub offers three self-paced tracks that include the technical content you need to build AI applications with MongoDB. Whether you're just getting started with AI concepts or looking to optimize advanced AI applications, this centralized hub has tailored resources to guide you.
View Resources
Beginner
Develop a foundational understanding of Gen AI and learn how to identify vector search and/or Gen AI use cases at work.
Intermediate
Learn the necessary skills and concepts (including performance optimization) to build an MVP that solves a real-world use case.
Advanced
Learn advanced techniques and LLM application architectures to take a secure, reliable, and controllable AI application to production.
-
GuideBeginnerWhat is an AI Stack?Dive into the AI ecosystem and understand the current state of generative AI applications.View the guide
-
University CourseBeginnerIntro to AI & Vector SearchLearn about foundational AI concepts like machine learning, deep learning, and natural language processing.View the course
-
University CourseBeginnerUsing Vector Search for Semantic SearchLearn how to leverage Atlas Search and Atlas Vector Search to identify the most relevant search results.View the course
-
GuideBeginnerWhat are Vector Databases?Learn what a vector database is, and how it works.View the guide
-
On-Demand VideoBeginnerVector Search: The Future of Data Querying Explained | Semantic SearchingExplore how Vector Search works, its benefits, and how to implement it.View the video
-
DocumentationBeginnerAtlas Vector Search OverviewDiscover how Atlas Vector Search powers semantic queries and AI apps.View the documentation
-
DocumentationBeginnerAtlas Vector Search Quick StartLearn how to load vector embeddings, create an index and perform semantic search in just 15 minutes.View the documentation
-
DocumentationBeginnerHow to Create Vector EmbeddingsLearn how to create vector embeddings for Atlas Vector Search.View the documentation
-
University CourseBeginnerUsing Atlas Vector Search for RAGLearn how to implement retrieval-augmented generation (RAG) with MongoDB.View the course
-
TutorialBeginnerBuild a Simple RAG Application Using MongoDB and OpenAIEnhance AI responses in NLP and GenAI with practical examples.View the tutorial
-
GuideBeginnerWhat is an AI AgentUncover the fundamentals of AI agents, their role in the world of artificial intelligence, and much more.View the guide
-
University CourseIntermediateData Ingestion for RAG ApplicationsLearn about the Data Ingestion Pipeline for retrieval-augmented generation (RAG) applications.View the course
-
TutorialIntermediateHow to Choose the Best Embedding Model for Your LLM AppDiscover why embeddings are important for RAG and how to choose the right embedding model.View the tutorial
-
TutorialIntermediateHow to Choose the Right Chunking Strategy for Your LLM AppExplore and evaluate different chunking strategies to choose the right one for a sample RAG application.View the tutorial
-
DocumentationIntermediateRAG with Atlas Vector SearchLearn how to implement retrieval-augmented-generation (RAG) in your generative AI applications.View the documentation
Ready to start building?
Take what you’ve learned and start crafting your very own AI application in MongoDB.
